loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: D. Vallejo-Fernandez ; C. Gonzalez-Morcillo and L. Jimenez-Linares

Affiliation: Escuela Superior de Informatica, Universidad de Castilla-La Mancha, Spain

ISBN: 978-972-8865-89-4

Keyword(s): Rendering, Qualitative Expert Knowledge, Fuzzy Systems, Fuzzy Sets, Multi-Agent Systems.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Intelligent Social Agents and Distributed Artificial Intelligence Applications

Abstract: The rendering process allows the developer to obtain a raster 2D image from the definition of a 3D scene. This process is computationally intensive if the source scene has a certain complexity or high-quality images are required. Therefore, a lot of time is spent and many computational resources are needed. In this paper, a novel approach called QUEKARO (standing for a QUalitative Expert Knowledge Approach to Rendering Optimization) is presented for adjusting some relevant parameters involved in the rendering process by using expert systems. This way, the developer can obtain optimized results which reduce the time spent in the rendering process and, in most cases, do not affect the final quality of the raster 2D image. These results will be exposed on the result section, in which different optimizations will be studied. As we discuss on the final section of this paper, the use of expert systems in the rendering process involves a novel approach which reduces drastically the resourc es used and provides us with a high-scalable system. Using these arguments, we will justify the inclusion of expert systems in this area and will study future works. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.83.32.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vallejo-Fernandez D.; Gonzalez-Morcillo C.; Jimenez-Linares L. and (2007). A QUALITATIVE EXPERT KNOWLEDGE APPROACH TO RENDERING OPTIMIZATION.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 336-341. DOI: 10.5220/0002361503360341

@conference{iceis07,
author={D. Vallejo{-}Fernandez and C. Gonzalez{-}Morcillo and L. Jimenez{-}Linares},
title={A QUALITATIVE EXPERT KNOWLEDGE APPROACH TO RENDERING OPTIMIZATION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={336-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002361503360341},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A QUALITATIVE EXPERT KNOWLEDGE APPROACH TO RENDERING OPTIMIZATION
SN - 978-972-8865-89-4
AU - Vallejo-Fernandez, D.
AU - Gonzalez-Morcillo, C.
AU - Jimenez-Linares, L.
PY - 2007
SP - 336
EP - 341
DO - 10.5220/0002361503360341

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.